Steven Bills

Artificial Intelligence · 2009–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 97 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Bills trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dekang Lin
  2. Rion Snow
  3. Marti A. Hearst
  4. Guodong Zhou
  5. Ellen Riloff
  6. Razvan C. Bunescu
  7. Mark W. Craven
  8. Eugene Agichtein
  9. Fei Wu
  10. Deepak Ravichandran

Who trusts Steven Bills overall

  1. Xu Han
  2. Yankai Lin
  3. Andrew McCallum
  4. Zhiyuan Liu
  5. Sebastian Riedel
  6. Zhiquan Ye
  7. Arvind Neelakantan
  8. Tianyu Gao
  9. Christopher R'e
  10. Rajarshi Das

Papers from Steven Bills's perspective

Ordered by how strongly the researchers Steven Bills trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers